Calorie Count Policy
Analyzed the impact of mandatory calorie labeling on restaurant menu choices using causal inference and statistical modeling. Presented at PyData Chicago.
View NotebookIIT Chicago alum (M.S. Computer Science) passionate about turning messy data into meaningful insights. I build data-driven solutions for social good — from ML pipelines and NLP models to interactive dashboards and cloud-deployed applications.
A selection of projects spanning machine learning, NLP, data engineering, and voice interfaces.
Analyzed the impact of mandatory calorie labeling on restaurant menu choices using causal inference and statistical modeling. Presented at PyData Chicago.
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Built a web analytics dashboard that tracks recruiter engagement patterns on LinkedIn profiles using web scraping and data visualization pipelines.
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Applied supervised ML models (Random Forest, SVM, XGBoost) on Chicago crime dataset to predict crime type and location, achieving 85%+ classification accuracy.
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Designed and published an Amazon Alexa skill that recites couplets from the ancient Tamil classic Tirukkural, with contextual explanations and keyword search.
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NLP pipeline that crawls major news outlets, applies sentiment analysis and topic modeling, then surfaces a daily "optimism score" with positive story highlights.
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Computer vision system for monitoring patient activity and posture in clinical settings, using image classification and time-series anomaly detection.
Learn More"The only way to do great work is to love what you do." — Steve Jobs
I'm always open to discussing data science projects, research collaborations, or just connecting. Reach out through any of the channels below.